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SAS Model Manager description
SAS Model Manager is a software tool designed to help businesses manage their AI models. It lets you track model performance, ensure they are working correctly, and easily deploy them for use across your business. With its automation features, you can streamline your model management processes, making it easier for your teams to maintain and monitor model performance over time.
Who is SAS Model Manager best for
SAS Model Manager is a robust model management solution ideal for large enterprises, especially in financial services, using SAS products. It streamlines AI/ML model deployment, monitoring, and governance. Users praise its centralized platform and automation features but note the high cost and complex setup. It's best for organizations needing a comprehensive, scalable solution, despite the investment.
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Best fit for large enterprises deploying and managing numerous AI/ML models.
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A strong fit for financial services companies using SAS products.
SAS Model Manager features
| Supported Models can be deployed to cloud environments like Azure, on-premises, or in Snowpark. |
| Supported SAS Model Manager supports version control for models and projects, enabling change tracking and reverting to earlier versions. |
| Supported SAS Model Manager supports deploying models on-premise. |
We evaluate the sentiment that users express about non-functional aspects of the software
Ease of Use
Reliability and Performance
Ease of Implementation
Scalability
SAS Model Manager reviews
We've summarised 72 SAS Model Manager reviews (SAS Model Manager G2 reviews) and summarised the main points below.
- User-friendly interface simplifies model management tasks.
- Centralized platform for model storage, tracking, and performance monitoring.
- Facilitates collaboration among team members.
- Automates key processes like model deployment and retraining.
- Supports integration with open-source languages like Python and R.
- High cost and licensing fees are a major barrier for smaller companies.
- Limited community support and lack of readily available solutions for troubleshooting.
- Installation process can be complex and time-consuming.
- Integration with third-party tools can be challenging, requiring specialized expertise.
SAS Model Manager pricing
The commentary is based on 14 reviews from SAS Model Manager G2 reviews.
SAS Model Manager is praised for its robust model management capabilities, but reviewers consistently cite its high cost as a significant drawback. Smaller companies, especially, may find the pricing prohibitive despite the platform's value.
Users sentiment
See the SAS Model Manager pricing page.
SAS Model Manager alternatives
Qlik AutoMLBetter for users without coding experience seeking automated model building and insights. Has a no-code approach for easier model deployment. More suitable for smaller businesses.Read more
Wallaroo.aiMore focused on rapid AI model deployment and scaling. SAS Model Manager is growing faster.Read more
MATLABBetter for users needing advanced calculations and simulations. Caters to a wider range of industries including healthcare, consumer goods, and education. Has significantly more website traffic growth.Read more
RapidCanvasBetter fit for non-coders. Has rapidly growing momentum. A SAS Model Manager competitor designed for broader industry use.Read more
SAS ViyaBetter for broader data analysis, visualization, and reporting needs. A SAS Model Manager competitor more suited for general data exploration and insights.Read more
SuperwiseMore focused on AI model monitoring, including bias detection and data quality. Has significantly more momentum in terms of website traffic growth.Read more
SAS Model Manager FAQ
What is SAS Model Manager and what does SAS Model Manager do?
SAS Model Manager is a robust platform for governing, monitoring, and deploying AI models. It streamlines model management processes, tracks performance, and ensures accuracy. It features automation, version control, and supports both cloud and on-premise deployments.
How does SAS Model Manager integrate with other tools?
SAS Model Manager integrates with open-source languages like Python and R. It also supports deployment to cloud environments such as Azure, on-premises systems, and in Snowpark. However, integrating with other third-party tools can be challenging.
What the main competitors of SAS Model Manager?
Top alternatives to SAS Model Manager include Wallaroo.ai for streamlined model deployment, Superwise for AI model monitoring, and Aporia for ensuring AI security and reliability. Other options include Qlik AutoML and MATLAB.
Is SAS Model Manager legit?
Yes, SAS Model Manager is a legitimate software product. It's a safe and reliable platform used by many businesses for managing their AI models. It offers robust features for model deployment, monitoring, and governance, ensuring responsible AI practices.
How much does SAS Model Manager cost?
I cannot find pricing details for SAS Model Manager. Contact SAS sales for a customized quote based on your specific needs and deployment size. Consider exploring alternative model management tools if budget is a concern.
Is SAS Model Manager customer service good?
SAS Model Manager's customer support receives mixed reviews. Some users mention excellent support and a great support team. However, others note a lack of readily available solutions and documentation for troubleshooting, suggesting there's room for improvement in this area.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.